ON THE BOUNDED CONTROL OF SOME UNSTABLE MECHANICAL SYSTEMS,

Abstract

This dissertation considers the control and controllability of certain mechanical systems which are inherently unstable. A potential area of application is to the control of rocket vehicles in their launch phase. The majority of effort is directed toward synthesizing control laws for bang-bang controllers--those having only two outputs symmetric about zero. Within the general area, two separate investigations are conducted, and for this reason, the report is in two parts. Part 1 considers the synthesis and application of controls for a class of dynamical systems of arbitrarily high order. A slender, flexible missile is describable by the equations of motion of the subject class. Two separate control laws are derived, one a linear and one a nonlinear function of the plant outputs. Part 2 concerns the adaptive control of a specific fourth-order timevarying mechanical system. Again, potential applications include a rocket vehicle--in this case, one whose center of mass or center of aerodynamic pressure is varying with time. Two different adaptive control processes are formulated in response to two separate problem statements. The feasibility of both techniques is indicated by analog computer simulations. The second process, a 'dual-mode' adaptive scheme, is shown to be able to match the perfect controller in maximizing the range of controllable initial conditions, regardless of the value of the single unknown parameter.

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1965
Accession Number
AD0624618

Entities

People

  • John F. Schaefer

Organizations

  • Stanford University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Analog Computers
  • Computational Science
  • Computer Simulations
  • Computers
  • Computing-Related Activities
  • Control Simulators
  • Dual Mode
  • Equation-Based Simulations
  • Equations
  • Equations Of Motion
  • Simulations
  • Simulators
  • Theses

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.